Design of Time-Encoded Spiking Neural Networks in 7-nm CMOS Technology
- Sandro Widmer
- Marcel Kossel
- et al.
- 2023
- IEEE TCAS-II
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95 results for Angeliki Pantazi
Are training trajectories of deep single-spike and deep ReLU network equivalent?
- Ana Stanojevic
- Stanisław Woźniak
- et al.
- 2023
- arXiv
An exact mapping from ReLU networks to spiking neural networks
- Ana Stanojevic
- Stanisław Woźniak
- et al.
- 2022
- arXiv
Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms
- Angeliki Pantazi
- Bipin Rajendran
- et al.
- 2022
- Frontiers in Neuroscience
Track-following system optimization for future magnetic tape data storage
- Patrick Ebermann
- Giovanni Cherubini
- et al.
- 2021
- Mechatronics
Biologically Inspired Dynamics Enhance Deep Learning
- Stanisław Woźniak
- Thomas Bohnstingl
- et al.
- 2021
- ERCIM News
Deep learning incorporating biologically-inspired neural dynamics
- 2019
- arXiv
Feedback control of transport systems in tape drives without tension transducers
- Giovanni Cherubini
- Angeliki Pantazi
- et al.
- 2018
- Mechatronics
201 Gb/in2 Recording Areal Density on Sputtered Magnetic Tape
- Simeon Furrer
- Mark A. Lantz
- et al.
- 2018
- IEEE Transactions on Magnetics
Neuromorphic Architecture with 1M Memristive Synapses for Detection of Weakly Correlated Inputs
- Stanislaw Wozniak
- Angeliki Pantazi
- et al.
- 2017
- IEEE TCAS-II